Knowledge Work Standardization,
Robotic Process Automation,
and Business Intelligence Analytics

BELIEF No.1 Only factory work can be "industrialized"

Conventional wisdom assumes that standardizing work in the “upstairs” factories of marketing, finance or order management is impractical or impossible. But downstairs factories once made the same claim.

Work is work. Industrializing the assembly of a car is vastly more challenging than industrializing a marketing campaign. But you don’t think of knowledge work that way.

All work has valuable, repeatable patterns, but few executives recognize knowledge work repetition.

YOU ACCEPT A CONVENTIONAL (AND FALSE) DIVISION OF WORK.

BELIEF No.2 Knowledge work can't be standardized

You let knowledge workers decide how to improve their operations. Their work is perceived as non- routine.

But analyze what knowledge workers do. You discover that two-thirds of their work is repetitive and similar. That’s valuable. Basic shop floor techniques — industrialization — can easily standardize these repetitious activities.

Long ago, craftsmen’s work on the shop floor was seen as “non-routine.” After standardization, productivity increased fifty-fold.

The same untapped wealth hides in plain sight in knowledge work.

YOU MISS THE CHANCE TO CREATE KNOWLEDGE WORK “FACTORIES.”

BELIEF No.3 White collar waste is "virtuous" & unavoidable

In the plant, waste like scrap material or machine downtime is obvious. Reducing it is inarguably valuable.

Knowledge work waste is less obvious. It is error correction, customer over-service or rework.

Point it out as avoidable waste. Knowledge workers will argue that they are preserving revenue and serving customers.

True. But industrialization eliminates the root causes and avoids these tasks.

If you’re typical, you accept these avoidable tasks as indispensable or even virtuous.

YOU LET “VIRTUOUS WASTE” ERODE HARD WON EARNINGS.

BELIEF No.4 Knowledge work can't use the experience curve

In a plant, knowledge accumulated over decades—the experience curve—is valued and documented. It is built into workflows, tools and work area design.

Employees change, but a factory can consistently produce with variance measured in parts per million.

In an office, the experience curve exists as unwritten “tribal knowledge.” These poorly documented assets are diminished each time a worker leaves.

New hires devise their own personal work methods. They reinvent individual experience curves.

YOU SQUANDER THE POWER OF THE KNOWLEDGE WORK EXPERIENCE CURVE.

BELIEF No.5 Technology will automate knowledge work

When manufacturers automate, they begin by making the products and tasks simple and standard for machines to handle. This industrialization step is called “design for machinability.” It delivers higher productivity with fewer workers.

When knowledge workers automate, they simplify and standardize very little. They don’t industrialize.

They view much of their work as “non-routine,” and non-standard. Consequently, knowledge workers adopt technology but retain flexibility, inconsistency and workarounds.

KNOWLEDGE WORK TECHNOLOGY FALLS SHORT ON PRODUCTIVITY GOALS.

The Lab Recover Your Earnings with Standardization

The Lab is a management consulting firm focused exclusively on business process standardization. The Lab developed the world’s largest database of standardization templates. Our template-based advantage delivers 3-5 times more standardization than any other method.

Each of The Lab’s engagements is self-funding and includes a money-back guarantee. Our projects pay for themselves in 6-8 months and deliver 2-4x payback in the first year.

For over two decades, The Lab has successfully implemented initiatives with Fortune 500 clients that deliver consistent, sustainable benefits.